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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 21 |
Material Type: Article
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Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language UnderstandingarXiv.org, 2023-102023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.14676Full text available |
| 22 |
Material Type: Article
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Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language AnnotationarXiv.org, 2023-102023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.07826Full text available |
| 23 |
Material Type: Article
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A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence ScoresarXiv.org, 2023-102023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.03283Full text available |
| 24 |
Material Type: Article
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BAGEL: Bootstrapping Agents by Guiding Exploration with LanguagearXiv.org, 2024-032024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.08140Full text available |
| 25 |
Material Type: Article
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Prompt2Model: Generating Deployable Models from Natural Language InstructionsarXiv.org, 2023-082023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2308.12261Full text available |
| 26 |
Material Type: Article
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Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingarXiv.org, 2023-072023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.07880Full text available |
| 27 |
Material Type: Article
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Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language InferencearXiv.org, 2023-072023. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.05034Full text available |
| 28 |
Material Type: Article
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RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsarXiv.org, 2023-072023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.08844Full text available |
| 29 |
Material Type: Article
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Resolving Word Vagueness with Scenario-guided Adapter for Natural Language InferencearXiv.org, 2024-052024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.12434Full text available |
| 30 |
Material Type: Article
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Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-AwarenessarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08151Full text available |
| 31 |
Material Type: Article
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Sample Attackability in Natural Language Adversarial AttacksarXiv.org, 2023-062023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.12043Full text available |
| 32 |
Material Type: Article
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Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive StudyarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.02937Full text available |
| 33 |
Material Type: Article
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D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language ModelsarXiv.org, 2024-052024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04170Full text available |
| 34 |
Material Type: Article
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Learning to Imagine: Visually-Augmented Natural Language GenerationarXiv.org, 2023-062023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.16944Full text available |
| 35 |
Material Type: Article
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Enhancing Language Representation with Constructional Information for Natural Language UnderstandingarXiv.org, 2023-062023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.02819Full text available |
| 36 |
Material Type: Article
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Automated Long Answer Grading with RiceChem DatasetarXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.14316Full text available |
| 37 |
Material Type: Article
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Code4Struct: Code Generation for Few-Shot Event Structure PredictionarXiv.org, 2023-052023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.12810Full text available |
| 38 |
Material Type: Article
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An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language ModelsarXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.03028Full text available |
| 39 |
Material Type: Article
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Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We ThoughtarXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.11541Full text available |
| 40 |
Material Type: Article
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OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language ModelsarXiv.org, 2023-052023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.12307Full text available |
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